Optimal confidence regions for the two-parameter exponential distribution based on records

In this article, we propose two families of optimal confidence regions for the location and scale parameters of the two-parameter exponential distribution based on upper records. Constrained optimization problems are used to find the smallest-area confidence regions for the exponential parameters wi...

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Main Authors: Asgharzadeh, Akbar, Bagheri, S. F., Ibrahim, Noor Akma, Abu Bakar, Mohd Rizam
Format: Article
Language:English
Published: Springer 2020
Online Access:http://psasir.upm.edu.my/id/eprint/86992/
http://psasir.upm.edu.my/id/eprint/86992/1/Optimal%20confidence%20regions%20for%20the%20two.pdf
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author Asgharzadeh, Akbar
Bagheri, S. F.
Ibrahim, Noor Akma
Abu Bakar, Mohd Rizam
author_facet Asgharzadeh, Akbar
Bagheri, S. F.
Ibrahim, Noor Akma
Abu Bakar, Mohd Rizam
author_sort Asgharzadeh, Akbar
building UPM Institutional Repository
collection Online Access
description In this article, we propose two families of optimal confidence regions for the location and scale parameters of the two-parameter exponential distribution based on upper records. Constrained optimization problems are used to find the smallest-area confidence regions for the exponential parameters with a specified confidence level. Optimal prediction interval for the future records is also proposed. Two numerical examples as well as a simulation study, are presented for illustrative purposes. It is shown that the reduction in area of the optimal joint confidence region with respect to the existing confidence regions is substantial.
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institution Universiti Putra Malaysia
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language English
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spelling upm-869922022-01-10T07:26:08Z http://psasir.upm.edu.my/id/eprint/86992/ Optimal confidence regions for the two-parameter exponential distribution based on records Asgharzadeh, Akbar Bagheri, S. F. Ibrahim, Noor Akma Abu Bakar, Mohd Rizam In this article, we propose two families of optimal confidence regions for the location and scale parameters of the two-parameter exponential distribution based on upper records. Constrained optimization problems are used to find the smallest-area confidence regions for the exponential parameters with a specified confidence level. Optimal prediction interval for the future records is also proposed. Two numerical examples as well as a simulation study, are presented for illustrative purposes. It is shown that the reduction in area of the optimal joint confidence region with respect to the existing confidence regions is substantial. Springer 2020-07-18 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/86992/1/Optimal%20confidence%20regions%20for%20the%20two.pdf Asgharzadeh, Akbar and Bagheri, S. F. and Ibrahim, Noor Akma and Abu Bakar, Mohd Rizam (2020) Optimal confidence regions for the two-parameter exponential distribution based on records. Computational Statistics, 35. 309 - 326. ISSN 0943-4062; ESSN:1613-9658 https://link.springer.com/article/10.1007/s00180-019-00914-x 10.1007/s00180-019-00914-x
spellingShingle Asgharzadeh, Akbar
Bagheri, S. F.
Ibrahim, Noor Akma
Abu Bakar, Mohd Rizam
Optimal confidence regions for the two-parameter exponential distribution based on records
title Optimal confidence regions for the two-parameter exponential distribution based on records
title_full Optimal confidence regions for the two-parameter exponential distribution based on records
title_fullStr Optimal confidence regions for the two-parameter exponential distribution based on records
title_full_unstemmed Optimal confidence regions for the two-parameter exponential distribution based on records
title_short Optimal confidence regions for the two-parameter exponential distribution based on records
title_sort optimal confidence regions for the two-parameter exponential distribution based on records
url http://psasir.upm.edu.my/id/eprint/86992/
http://psasir.upm.edu.my/id/eprint/86992/
http://psasir.upm.edu.my/id/eprint/86992/
http://psasir.upm.edu.my/id/eprint/86992/1/Optimal%20confidence%20regions%20for%20the%20two.pdf